6 papers
NEXUS: Continual Learning of Symbolic Constraints for Safe and Robust Embodied Planning
Tiehan Cui, Peipei Liu, Yanxu Mao +3
While Large Language Models (LLMs) have catalyzed progress in embodied intelligence, a fundamental gap between their inherent probabilistic uncertainty and the strict determinism a…
Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
Yanxu Mao, Peipei Liu, Tiehan Cui +3
With the widespread application of LLM-based agents across various domains, their complexity has introduced new security threats. Existing red-team methods mostly rely on modifying…
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
Congying Liu, Taihao Li, Ming Huang +5
Protein analysis tasks arising in healthcare settings often require accurate reasoning under protein sequence constraints, involving tasks such as functional interpretation of dise…
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs
Congying Liu, Xingyuan Wei, Peipei Liu +3
Biomedical queries often rely on a deep understanding of specialized knowledge such as gene regulatory mechanisms and pathological processes of diseases. They require detailed anal…
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion
Tiehan Cui, Yanxu Mao, Peipei Liu +2
Although large language models (LLMs) have achieved remarkable advancements, their security remains a pressing concern. One major threat is jailbreak attacks, where adversarial pro…
Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation
Yanxu Mao, Peipei Liu, Tiehan Cui +2
In recent years, text classification methods based on neural networks and pre-trained models have gained increasing attention and demonstrated excellent performance. However, these…